short-paper

Quantified recess: design of an activity for elementary students involving analyses of their own movement data

Authors:

Victor R. Lee,

Joel DrakeAuthors Info & Claims

IDC '13: Proceedings of the 12th International Conference on Interaction Design and Children

Pages 273 - 276

https://doi.org/10.1145/2485760.2485822

Published: 24 June 2013 Publication History

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Abstract

Recess is often a time for children in school to engage recreationally in physically demanding and highly interactive activities with their peers. This paper describes a design effort to encourage fifth-grade students to examine sensitivities associated with different measures of center by having them analyze activities during recess using over the course of a week using Fitbit activity trackers and TinkerPlots data visualization software. We describe the activity structure some observed student behaviors during the activity. We also provide a descriptive account, based on video records and transcripts, of two students who engaged thoughtfully with their recess data and developed a more sophisticated understanding of when and how outliers affect means and medians.

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Konold, C. and Miller, C. 2005. TinkerPlots. Dynamic Data Exploration. Statistics software for middle school curricula. Key Curriculum Press, Emeryville, CA.

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Lee, V. R. & Drake, J. 2013. Digital physical activity data collection and use by endurance runners and distance cyclists. Technology, Knowledge and Learning, 18, 1.

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Arastoopour Irgens GHerro DFisher AAdisa IAbimbade O(2023)Bop or Flop?: Integrating Music and Data Science in an Elementary ClassroomThe Journal of Experimental Education10.1080/00220973.2023.220157092:2(262-286)Online publication date: 21-Apr-2023
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Brazauskas JLechelt SWood EEvans RAdams SMcFarland EMarquardt NRogers Y(2021)DataMoves: Entangling Data and Movement to Support Computer Science EducationProceedings of the 2021 ACM Designing Interactive Systems Conference10.1145/3461778.3462039(2068-2082)Online publication date: 28-Jun-2021
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Index Terms

Quantified recess: design of an activity for elementary students involving analyses of their own movement data
1. Applied computing
  1. Education
    1. Collaborative learning

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Information & Contributors

Information

Published In

IDC '13: Proceedings of the 12th International Conference on Interaction Design and Children

June 2013

687 pages

ISBN:9781450319188

DOI:10.1145/2485760

Co-chair:
Juan Pablo Hourcade
University of Iowa
,
Conference Chairs:
Nitin Sawhney
The New School
,
Emily Reardon
Sesame Workshop

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 June 2013

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Short-paper

Funding Sources

Division of Research on Learning in Formal and Informal Settings

Conference

IDC '13

Sponsor:

The New School
ACM
Sesame Workshop

IDC '13: Interaction Design and Children 2013

June 24 - 27, 2013

New York, New York, USA

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Overall Acceptance Rate 172 of 578 submissions, 30%

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Cited By

View all

Su Z(2023)Caring for Children’s Health and Wellbeing Through Understanding and Designing for Health Data LiteracyProceedings of the 22nd Annual ACM Interaction Design and Children Conference10.1145/3585088.3593922(785-788)Online publication date: 19-Jun-2023
https://dl.acm.org/doi/10.1145/3585088.3593922
Arastoopour Irgens GHerro DFisher AAdisa IAbimbade O(2023)Bop or Flop?: Integrating Music and Data Science in an Elementary ClassroomThe Journal of Experimental Education10.1080/00220973.2023.220157092:2(262-286)Online publication date: 21-Apr-2023
https://doi.org/10.1080/00220973.2023.2201570
Brazauskas JLechelt SWood EEvans RAdams SMcFarland EMarquardt NRogers Y(2021)DataMoves: Entangling Data and Movement to Support Computer Science EducationProceedings of the 2021 ACM Designing Interactive Systems Conference10.1145/3461778.3462039(2068-2082)Online publication date: 28-Jun-2021
https://dl.acm.org/doi/10.1145/3461778.3462039
Lechelt SBrudy FMarquardt NRogers YKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)EvalMe: Exploring the Value of New Technologies for In Situ Evaluation of Learning ExperiencesProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445749(1-14)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445749
Lee VDrake JCain RThayne J(2021) Remembering What Produced the Data: Individual and Social Reconstruction in the Context of a Quantified Self Elementary Data and Statistics Unit Cognition and Instruction10.1080/07370008.2021.193652939:4(367-408)Online publication date: 10-Jul-2021
https://doi.org/10.1080/07370008.2021.1936529
Gendreau Chakarov ABiddy QJacobs JRecker MSumner TRobins AMoskal AKo AMcCauley RRobins AKo A(2020)Opening the Black BoxProceedings of the 2020 ACM Conference on International Computing Education Research10.1145/3372782.3406268(291-301)Online publication date: 10-Aug-2020
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Julien CCastelli DBray DLee SBurson SJung Y(2020)Project SMART: A Cooperative Educational Game to Increase Physical Activity in Elementary SchoolsSmart Health10.1016/j.smhl.2020.100163(100163)Online publication date: Dec-2020
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Bergner YMund SChen OPayne W(2020)Leveraging interest-driven embodied practices to build quantitative literacies: A case study using motion and audio capture from danceEducational Technology Research and Development10.1007/s11423-020-09804-269:4(2013-2036)Online publication date: 14-Jul-2020
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Mallavarapu ALyons LUzzo SThompson WLevy-Cohen RSlattery BBrewster SFitzpatrick GCox AKostakos V(2019)Connect-to-Connected WorldsProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300237(1-14)Online publication date: 2-May-2019
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Lee V(2019)On researching activity tracking to support learning: a retrospectiveInformation and Learning Sciences10.1108/ILS-06-2018-0048120:1/2(133-154)Online publication date: 14-Jan-2019
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Recommendations

Opportunistic uses of the traditional school day through student examination of Fitbit activity tracker data

Tracking physical activity: problems related to running longitudinal studies with commercial devices

An evaluation of wearable activity monitoring devices